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Predicting the Future of Car Manufacturing Industry using Data Mining Techniques


Data mining helps to find predictive information from large databases. Companies use predictive modeling tools for strategic decision-making. It helps companies to identify and account for the key assumptions that drive business value—enabling good decision making that leads to predictable results. By analyzing the company’s historical information we can anticipate these changes. This paper aims at providing a proposed data mining solution that can be used for automotive market, especially in the car manufacturing domain. That is to predict the future sales on the base of historical data. Especially we aim at finding the number of cars to be manufactured by a car manufacturing company by using the previous years data. For this linear regression analysis technique is used.

Language English
Collection theides


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